Gland segmentation in colon histology images: The glas challenge contest

Medical Image Analysis

Volumn 35, Issue , 2017, Pages 489-502

  Sirinukunwattana, Korsuk ^a   Pluim, Josien P W ^b   Chen, Hao ^c   Qi, Xiaojuan ^c   Heng, Pheng Ann ^c   Guo, Yun Bo ^d   Wang, Li Yang ^d   Matuszewski, Bogdan J ^d   Bruni, Elia ^e   Sanchez, Urko ^e   Böhm, Anton ^f   Ronneberger, Olaf ^f   Cheikh, Bassem Ben ^g   Racoceanu, Daniel ^g   Kainz, Philipp ^h,i   Pfeiffer, Michael ⁱ   Urschler, Martin ^j,k   Snead, David R J ^l   Rajpoot, Nasir M ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d UNIVERSITY OF CENTRAL LANCASHIRE   (United Kingdom)

^e ExB Research and Development   (Germany)

^f UNIVERSITY OF FREIBURG   (Germany)

^g SORBONNE UNIVERSITÉ   (France)

^h MEDICAL UNIVERSITY OF GRAZ   (Austria)

ⁱ UNIVERSITY OF ZURICH   (Switzerland)

^j GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^k LUDWIG BOLTZMANN INSTITUTE FOR LUNG VASCULAR RESEARCH   (Austria)

^l UNIVERSITY HOSPITALS COVENTRY AND WARWICKSHIRE NHS TRUST   (United Kingdom)

more..

Author keywords

Colon cancer; Digital pathology; Histology image analysis; Intestinal gland; Segmentation

Indexed keywords

DIAGNOSIS; DISEASES; GRADING; HISTOLOGY; PATHOLOGY; PATIENT TREATMENT;

ARCHITECTURAL APPEARANCE; COLON CANCER; COLORECTAL ADENOCARCINOMA; DIGITAL PATHOLOGIES; GLAND SEGMENTATIONS; GLANDULAR STRUCTURES; HISTOLOGY IMAGES; INTESTINAL GLAND;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; CLASSIFIER; COLON HISTOLOGY; COLORECTAL CARCINOMA; CONVOLUTIONAL NEURAL NETWORK; EVALUATION STUDY; GLAND SEGMENTATION; GLAND TISSUE; HISTOLOGY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE SEGMENTATION; MEASUREMENT ACCURACY; PRIORITY JOURNAL; AUTOMATION; COLON TUMOR; DIAGNOSTIC IMAGING; INFORMATION PROCESSING; PATHOLOGY; PROCEDURES; REPRODUCIBILITY;

ALGORITHMS; AUTOMATION; COLONIC NEOPLASMS; DATASETS AS TOPIC; DIAGNOSTIC IMAGING; HISTOLOGICAL TECHNIQUES; HUMANS; REPRODUCIBILITY OF RESULTS;

EID: 84994310706     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2016.08.008     Document Type: Article

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